Drimva

SandboxAQ

Principal Product Manager, Catalysis

$163K–$306K

United States · Remote · Principal · Full-time · Posted Oct 2, 2026

Experience
5+ years in product management.
Education
Bachelor's degree in Chemistry, Chemical Engineering or Materials Science or equivalent practical experience.

About the job

Own the catalysis product strategy for SandboxAQ’s AI-driven materials discovery platform, delivering CHIPS Act commitments while building a commercial product business.

What you'll do

  • Set the catalysis product vision, roadmap, requirements, and scientific benchmarking in collaboration with scientific, ML, and customer-facing teams.
  • Translate CHIPS Act objectives into product deliverables and evidence packages, coordinating with program stakeholders on milestone delivery.
  • Develop commercialization strategy, customer value propositions, partnerships, packaging, pricing, and product KPIs across catalysis markets.

What they ask for

  • 5+ years in product management, including ownership of a technically deep product sold to external customers; experience in software- and service-oriented business models.
  • Strong domain grounding in materials science, catalysis, chemistry, or chemical engineering.
  • Track record shipping AI/ML-driven scientific or engineering software to external, paying or contracted users, including products with unclear ICP or demand-generation funnel.
  • Bachelor's degree in Chemistry, Chemical Engineering or Materials Science or equivalent practical experience.

Nice to have

  • Experience in a major catalysis end market, such as refining, petrochemicals, emissions control, or energy-transition catalysis.
  • Familiarity with computational chemistry workflows such as density functional theory (DFT), molecular dynamics, or microkinetic modelling.

Pay

$163.2K – $306K • Multiple Ranges (currency and whether base salary or total pay not specified)

Tools

AI/ML, density functional theory (DFT), molecular dynamics, microkinetic modelling, machine-learned interatomic potentials, multi-tenant SaaS, API

AI focus

Product management for AI/ML-driven scientific software and Large Quantitative Models used to simulate molecular behavior and support catalysis discovery, prediction, and optimization.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)